Empowering Youth in AI with Intel: AI Expo Africa 2020

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Empowering Youth in AI with Intel: AI Expo Africa 2020

Table of Contents

  1. Introduction
  2. Empowering Youth in AI
    • 2.1 Intel's Goal to Empower Youth
    • 2.2 Intel AI for Youth Program
    • 2.3 Partnerships with Educational Institutions
    • 2.4 Micro and Nano Degrees
    • 2.5 Free Online Courses
  3. Tools and Resources for AI Practitioners
    • 3.1 Intel's One API
    • 3.2 AI Analytics Toolkit
    • 3.3 Intel Distribution of OpenVINO Toolkit
    • 3.4 Additional Tools and Resources
  4. Intel's Partnership Programs
    • 4.1 Examples of Partnership Projects
      • 4.1.1 Wheelie: Intel and Hubox Robotics
      • 4.1.2 Clean Water AI: Intel and Peter Ma
      • 4.1.3 Cash Note Identifier: Intel and Shithes Remo
    • 4.2 Partnering with Individuals
    • 4.3 Partnering with Universities and Startups
  5. Conclusion

👉 Empowering Youth in AI

Artificial Intelligence (AI) has emerged as a transformative force in the digital era. With the exponential growth of data and the advancements in technology, it becomes imperative to equip the younger generation with AI skills to harness the full potential of data. Intel, being a prominent player in the tech industry, is committed to empowering youth in the field of AI. Through their educational programs, tools, and partnerships, Intel aims to create a world where every individual can leverage data and AI to make a positive impact.

2.1 Intel's Goal to Empower Youth

Intel recognizes the importance of investing in STEM (Science, Technology, Engineering, and Mathematics) education to meet the growing demand for technical talent. Their goal is to partner with governments and institutions worldwide to train over 30 million people with AI skills. By collaborating with universities and schools, Intel strives to provide the necessary resources and curriculum to equip students with AI knowledge.

2.2 Intel AI for Youth Program

The Intel AI for Youth Program is one of Intel's flagship initiatives to empower students in the field of AI. This program enables students to learn and create their own social impact projects. Intel provides curriculum and resources to schools, fostering an environment where students can develop their AI skills. Currently, the program has reached over a hundred thousand high school and vocational students in nine countries. Intel aims to Scale this program globally, ensuring that AI education reaches more and more students.

2.3 Partnerships with Educational Institutions

To expand the reach of AI education, Intel collaborates with educational institutions like Maricopa Community College District. Maricopa, based in Arizona, became the first community college in the United States to offer an associate's degree in AI powered by Intel-developed Course content. This program not only makes AI training accessible to a wider pool of students but also addresses the demand for skilled AI professionals.

Additionally, Intel supports the emergence of micro and nano degrees as alternative education pathways. These specialized programs provide compact and focused training in AI, catering to individuals who may not pursue a traditional university degree. By diversifying the avenues for AI talent development, Intel aims to bridge the gap between the availability of AI jobs and the number of skilled professionals.

2.4 Free Online Courses

Intel offers a variety of free online courses, ensuring accessibility to AI education for anyone, anywhere. These courses cover AI theory, practical exercises, and explore tools and libraries optimized for Intel hardware. Whether you are a beginner or already have some AI knowledge, Intel's online offerings provide an opportunity to enhance your skills and gain hands-on experience. By leveraging these courses, individuals can keep pace with the rapidly evolving field of AI.

3. Tools and Resources for AI Practitioners

Intel provides a range of tools and resources designed to support AI practitioners at every level of expertise. These tools enable developers, researchers, and data scientists to accelerate their workflows and optimize their AI models. Let's explore some of the key offerings from Intel.

3.1 Intel's One API

Intel's One API is an industry initiative aimed at developing a unified programming model that abstracts the complexities of hardware. Traditionally, developers had to write code specific to different hardware architectures, which posed challenges in terms of compatibility and performance. With One API, developers can write code that can be deployed across diverse hardware architectures such as CPUs, GPUs, FPGAs, and accelerators. This simplifies the development process and maximizes performance, allowing AI practitioners to focus on building innovative AI solutions.

3.2 AI Analytics Toolkit

The Intel AI Analytics Toolkit provides developers, researchers, and data scientists with Python tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel architectures. This toolkit is powered by the One API libraries, which optimize compute operations and deliver high-performance deep learning training on CPUs. With the AI Analytics Toolkit, users can integrate fast inference into their AI applications, achieve drop-in acceleration for data analytics and machine learning workflows, and take advantage of Intel's hardware optimizations.

3.3 Intel Distribution of OpenVINO Toolkit

The Intel Distribution of OpenVINO (Open Visual Inference and Neural Network Optimization) Toolkit is a powerful tool for optimizing trained models for inference across a wide range of Intel architectures, including CPUs, integrated GPUs, the Intel Movidius Vision Processing Unit (VPU), FPGAs, and other accelerators. This toolkit provides a common API, making it easier to deploy deep learning inference from edge to cloud. With OpenVINO, developers can accelerate AI workloads in various domains such as computer vision, audio, speech, language, and recommendation systems. The toolkit also includes pre-optimized kernels and libraries, ensuring faster time to market.

3.4 Additional Tools and Resources

In addition to the aforementioned tools, Intel offers a range of other tools and resources to support AI practitioners. These tools, many of which are open-source and free, promote the democratization and availability of AI. Some notable examples include:

  • BigDL: A distributed deep learning library for Apache Spark that enables large-scale scientific, mathematical, and numeric computing.
  • Model Zoo: A collection of pre-trained models, sample scripts, and tutorials that serve as starting points for AI development.
  • Intel Distribution for Python: Optimized Python packages that leverage Intel's hardware features, delivering maximum performance without any code changes.
  • Apache Hadoop and Apache Spark Emblem: Tools for powerful data analytics, enabling developers to extract insights from vast amounts of data.

These tools, along with many others, can be accessed online, providing AI practitioners with valuable resources to enhance their projects and accelerate their AI development.

4. Intel's Partnership Programs

Intel recognizes that partnerships are essential for achieving broad-scale adoption of AI technologies. By collaborating with individuals, companies, universities, and startups, Intel works towards creating an ecosystem that supports and amplifies the impact of AI solutions. Let's take a closer look at some examples of Intel's partnership projects.

4.1 Examples of Partnership Projects

4.1.1 Wheelie: Intel and Hubox Robotics

Hubox Robotics, in partnership with Intel, developed Wheelie, an AI-powered wheelchair kit. Wheelie translates facial expressions into wheelchair commands, providing quadriplegics with independent mobility. By leveraging Intel's RealSense camera and OpenVINO toolkit, Wheelie enables individuals with mobility impairments to experience greater autonomy and improve their quality of life.

4.1.2 Clean Water AI: Intel and Peter Ma

According to the World Health Organization, lack of access to safe water and unclean environments lead to numerous health issues globally. The Clean Water AI project, developed by Peter Ma in collaboration with Intel, addresses this challenge. By utilizing Intel Xeon Scalable processors and the Intel Movidius Neural Compute Stick, the Clean Water AI project provides an affordable solution for delivering clean water. Deep learning techniques enable the detection of water quality, facilitating access to clean water for communities worldwide.

4.1.3 Cash Note Identifier: Intel and Shithes Remo

Shithes Remo, with support from Intel, developed a smartphone app that uses AI to identify different cash note values for the visually impaired. By leveraging the built-in camera, the app can audibly report the values of cash notes, providing an accessible solution for individuals with visual impairments. This partnership highlights the potential for AI to enhance accessibility and inclusivity in everyday tasks.

These examples demonstrate how powerful partnerships between Intel and innovators can drive positive social impact through AI solutions. By embracing collaboration, Intel helps individuals and companies amplify their efforts in making the world a better place.

4.2 Partnering with Individuals

Intel's AI Builder Program fosters partnerships with individual developers who have innovative ideas and solutions. By providing support and resources, Intel empowers these individuals to bring their AI projects to life. Through the program, developers gain access to technical expertise, mentorship, and opportunities to showcase their work. Collaborating with Intel enables individual developers to leverage Intel's technological advancements and amplify the impact of their AI solutions.

4.3 Partnering with Universities and Startups

Intel recognizes the crucial role that universities and startups play in AI innovation. By partnering with educational institutions and startup incubation programs like Berkeley SkyDeck, Intel can tap into cutting-edge research and drive innovation. These partnerships allow Intel to stay at the forefront of AI advancements and provide a platform for startups to benefit from Intel's resources and expertise. Additionally, these collaborations help in nurturing the next generation of AI practitioners by providing access to resources, mentorship, and real-world opportunities.

5. Conclusion

Intel's commitment to empowering youth in AI is evident through its comprehensive approach that encompasses education programs, tools, and partnerships. By equipping students with AI skills, supporting AI practitioners with powerful tools, and collaborating with individuals, companies, and academic institutions, Intel strives to create a future where AI solutions drive positive social impact. Through these initiatives, Intel paves the way for a world where data and AI are harnessed to enhance lives and build a better future for all.

Highlights

  • Intel is dedicated to empowering youth in the field of AI through education programs, tools, and partnerships.
  • The Intel AI for Youth Program aims to train over 30 million people worldwide with AI skills.
  • Partnerships with educational institutions and the emergence of micro and nano degrees broaden access to AI education.
  • Intel provides various tools and resources such as One API, AI Analytics Toolkit, and OpenVINO to support AI practitioners.
  • Partnership projects like Wheelie, Clean Water AI, and Cash Note Identifier showcase the real-world impact of AI.
  • Intel partners with individuals, universities, and startups to drive AI innovation and nurture the next generation of AI practitioners.

Frequently Asked Questions (FAQ)

Q: How can I participate in Intel's AI for Youth Program? A: The Intel AI for Youth Program collaborates with schools and institutions worldwide. You can reach out to your educational institution or visit Intel's official website for more information on participation.

Q: Are the online courses offered by Intel free? A: Yes, Intel offers a range of free online courses that cover AI theory, hands-on exercises, and exploration of tools. These courses are accessible anytime and anywhere, providing a convenient learning experience.

Q: Can I access Intel's tools and resources as an AI practitioner? A: Yes, Intel provides a wide range of tools and resources for AI practitioners, from beginners to experts. These tools are designed to optimize performance, facilitate deep learning training, and accelerate AI workflows on Intel architectures.

Q: How can I become a partner of Intel in the AI space? A: Intel welcomes partnerships with individuals, companies, universities, and startups in the AI space. You can explore Intel's AI Builder Program or reach out to Intel's partnership teams to discuss collaboration opportunities.

Q: What is the goal of Intel's partnership programs? A: Intel's partnership programs aim to drive broad-scale adoption of AI technologies and amplify the impact of AI solutions. These programs focus on fostering collaborations with innovative individuals, universities, and startups to create a robust ecosystem that drives AI innovation and addresses global challenges.

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